Volume 7, Issue 2 (Journal of Control, V.7, N.2 Summer 2013)                   JoC 2013, 7(2): 33-42 | Back to browse issues page

XML Persian Abstract Print


Download citation:
BibTeX | RIS | EndNote | Medlars | ProCite | Reference Manager | RefWorks
Send citation to:

Ataei M, Ghotb H, Shahgholian G, Kiyoumarsi A. Modeling of the Electric Arc Furnaces using Chaos Theory and Control of Power Quality Parameters. JoC 2013; 7 (2) :33-42
URL: http://joc.kntu.ac.ir/article-1-111-en.html
Abstract:   (14769 Views)
Chaos-Based modeling of Electric Arc Furnaces (EAF)in order to control the power quality parameters is the purpose of this paper. Electric arc furnaces represent one of the major sources of perturbations for the feeding system. For modeling the electric arc furnace, at first, the arc is modeling using current-voltage characteristic of time-domain, then the random characteristic has been taken into account by modulating the arc voltage by a chaotic attractor. This paper deals with the problem of the arc modeling using three well-known chaotic attractors (Rössler, Chua, and Lorenz) attractors. A new tuning procedure is carried out to determine the most adequate parameters of the attractors to model the arc furnace by imperialist competitive algorithm (ICA). Finally two methods (time delay feedback controller (TDFC), adaptive controller) for controlling electrode in electric arc furnaces are proposed. Then, the power quality indices before and after applying controller are compared to show the effectiveness of the proposed idea.
Full-Text [PDF 5554 kb]   (4610 Downloads)    
Type of Article: Research paper | Subject: Special
Received: 2014/06/20 | Accepted: 2014/06/20 | Published: 2014/06/20

Add your comments about this article : Your username or Email:
CAPTCHA

Send email to the article author


Rights and permissions
Creative Commons License This work is licensed under a Creative Commons Attribution-NonCommercial 4.0 International License.

© 2024 CC BY-NC 4.0 | Journal of Control

Designed & Developed by : Yektaweb